Left ventricular segmentation from MRI datasets with edge modelling conditional random fields.

Background: This paper considers automatic segmentation of the left cardiac ventricle in short axis magnetic resonance images. Various aspects, such as the presence of papillary muscles near the endocardium border, makes simple threshold based segmentation difficult.

Methods: The endo- and epicardium are modelled as two series of radii which are inter-related using features describing shape and motion.